Results 181 to 190 of about 12,196 (239)
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Evaluation & the Health Professions, 1984
The Rasch model is one of several item response theory measurement models that provides generality of measurement and linearity of scale. The former is a result of the separation of test item and person measures. Item difficulties are adjustedfor the effects of the particular group of examinees tested, and examinee scores are adjusted for the effects ...
Paul R. Kelley, Charles F. Schumacher
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The Rasch model is one of several item response theory measurement models that provides generality of measurement and linearity of scale. The former is a result of the separation of test item and person measures. Item difficulties are adjustedfor the effects of the particular group of examinees tested, and examinee scores are adjusted for the effects ...
Paul R. Kelley, Charles F. Schumacher
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2019
A category coefficient \( \kappa_{k} \) is the sum of the exceeded thresholds for response category k. The PRM can be rewritten in terms of principal components (Guttman) for the thresholds instead of the thresholds themselves. The principal component \( \lambda \) characterizes the spread of the responses, the principal component \( \eta ...
David Andrich, Ida Marais
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A category coefficient \( \kappa_{k} \) is the sum of the exceeded thresholds for response category k. The PRM can be rewritten in terms of principal components (Guttman) for the thresholds instead of the thresholds themselves. The principal component \( \lambda \) characterizes the spread of the responses, the principal component \( \eta ...
David Andrich, Ida Marais
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Contemporary Extensions of the Rasch Model
Quality and Quantity, 2003This paper will introduce, discuss and illustrate two contemporary extensions of theRasch model: the one parameter logistic model (Verhelst and Glas, 1995) and theMultidimensional Rasch model (Hoijtink et al., 1999). Using data with respect tothe measurement of schizotypy (Vollema and Hoijtink, 2000) the most importantfeatures of both models will be ...
Hoijtink, H.J.A., Vollema, M.G.
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Psychometrika, 1995
This paper discusses the application of a class of Rasch models to situations where test items are grouped into subsets and the common attributes of items within these subsets brings into question the usual assumption of conditional independence.
Wilson, Mark, Adams, Raymond J.
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This paper discusses the application of a class of Rasch models to situations where test items are grouped into subsets and the common attributes of items within these subsets brings into question the usual assumption of conditional independence.
Wilson, Mark, Adams, Raymond J.
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Optimal Designs for the Rasch Model
Psychometrika, 2012In this paper, optimal designs will be derived for estimating the ability parameters of the Rasch model when difficulty parameters are known. It is well established that a design is locally D-optimal if the ability and difficulty coincide. But locally optimal designs require that the ability parameters to be estimated are known.
Graßhoff, Ulrike +2 more
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A Dynamic Generalization of the Rasch Model
Psychometrika, 1993In the present paper a model for describing dynamic processes is constructed by combining the common Rasch model with the concept of structurally incomplete designs. This is accomplished by mapping each item on a collection of virtual items, one of which is assumed to be presented to the respondent dependent on the preceding responses and/or the ...
Verhelst, N.D., Glas, Cornelis A.W.
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A New Derivation of the Rasch Model
1984Abstract The Rasch model is usually derived from statistical requirements of estimation of its parameters. The principle of 'specific objectivity' or, equivalently, 'sample independence' requires that subject parameters can be estimated independent from the item parameters and vice versa. This in turn requires that sufficient statistics exist for the
Roskam, E.E., Jansen, Paul
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On Keats' Generalization of the Rasch Model
Psychometrika, 1977Parameter estimation for Keats generalization of the Rasch model that takes account of guessing behavior is investigated. It is shown that no minimal sufficient statistics for the ability parameters independent of the difficulty parameters exist. Thus Andersen's conditional inference technique for consistent estimation is not applicable to Keats' model.
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Residualanalysis in the Polytomous Rasch Model
Psychometrika, 1995Residuals for check of model fit in the polytomous Rasch model are examined. Comparisons are made between using counts for all response pattern and using item totals for score groups for the construction of the residuals. Comparisons are also, for the residuals based on score group totals, made between using as basis the item totals, or using the ...
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